TY - CPAPER
KW - Analysis techniques
KW - Deep learning
KW - Hotspots
KW - Internet information
KW - internet information technology
KW - knowledge hotspot
KW - Prosperity warning
KW - Research trends
KW - Sheng shi wei yan
KW - Sheng shi wei yan
KW - Text processing
KW - Time series analysis
KW - Visualization
KW - Visualization technique
KW - Word of warning to a prosperous age
KW - Words of Warning to a Prosperous Age
KW - internet information technology
KW - knowledge hotspot
AU - B. Chen
AU - K. Chen
AU - X. Wang
AB - Internet information technology and visualization effectively explore the commonalities and differences of many kinds of science literature and identify research trends, frontiers, and hotspots. Based on the research literature on  Prosperity warning  collected in the CNKI database, this paper uses internet information analysis and visualization techniques such as the frequency matrix, word cloud graph, time series graph to explore the hot topics of the retrieval platform. The results show that the popular study period of the work was mainly concentrated around the 2010s. The first five years in which this work has been studied the most are ranked: 2010, 2007, 2008, 2006, and 2003. We can also get the top ten most popular keywords from the analysis.  Prosperity warning  became a popular keyword after 1976. There was a research climax in the 1980s. After that, people began to pay attention to this work and theoretical ideas one after another. This work first paid attention to intangible cultural heritage. He and his books are the carriers of information technology. It can be said that information technology has a huge advantage in helping us to carry out text processing and text mining, and it has a wider application value in today s interdisciplinary.
C2 - IEEE Int. Conf. Electron. Technol., Commun. Inf., ICETCI
DO - 10.1109/ICETCI55101.2022.9832343
N1 - Journal Abbreviation: IEEE Int. Conf. Electron. Technol., Commun. Inf., ICETCI
N2 - Internet information technology and visualization effectively explore the commonalities and differences of many kinds of science literature and identify research trends, frontiers, and hotspots. Based on the research literature on  Prosperity warning  collected in the CNKI database, this paper uses internet information analysis and visualization techniques such as the frequency matrix, word cloud graph, time series graph to explore the hot topics of the retrieval platform. The results show that the popular study period of the work was mainly concentrated around the 2010s. The first five years in which this work has been studied the most are ranked: 2010, 2007, 2008, 2006, and 2003. We can also get the top ten most popular keywords from the analysis.  Prosperity warning  became a popular keyword after 1976. There was a research climax in the 1980s. After that, people began to pay attention to this work and theoretical ideas one after another. This work first paid attention to intangible cultural heritage. He and his books are the carriers of information technology. It can be said that information technology has a huge advantage in helping us to carry out text processing and text mining, and it has a wider application value in today s interdisciplinary.
PB - Institute of Electrical and Electronics Engineers Inc.
SN - 9781728181158 (ISBN)
SP - 872
EP - 875
TI - Influence of Internet Information Technology on Deep Learning: A Case of Science Literature
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136319830&doi=10.1109%2fICETCI55101.2022.9832343&partnerID=40&md5=9a9f8c2a4f18c08016df732e106c23c8
ER -